Fix: Propagate local_files_only to hub_kwargs and PEFT adapter loading

Author: nandan2003

src/transformers/integrations/peft.py

@@ -106,6 +106,7 @@ def load_adapter(
         low_cpu_mem_usage: bool = False,
         is_trainable: bool = False,
         hotswap: bool | Literal["auto"] = "auto",
+        local_files_only: bool = False,
         adapter_kwargs: Optional[dict[str, Any]] = None,
     ) -> None:
         """
@@ -237,6 +238,9 @@ def load_adapter(
         if adapter_kwargs is None:
             adapter_kwargs = {}
 
+        if "local_files_only" not in adapter_kwargs:
+             adapter_kwargs["local_files_only"] = local_files_only
+
         from peft import PeftConfig, inject_adapter_in_model, load_peft_weights
         from peft.utils import set_peft_model_state_dict
 
@@ -768,6 +772,9 @@ def maybe_load_adapters(
 ):
     if pretrained_model_name_or_path is None or not is_peft_available():
         return None, pretrained_model_name_or_path, adapter_kwargs
+    
+    if "local_files_only" not in adapter_kwargs:
+        adapter_kwargs["local_files_only"] = download_kwargs.get("local_files_only", False)
 
     token = download_kwargs.get("token")
 

src/transformers/pipelines/__init__.py

@@ -687,12 +687,14 @@ def pipeline(
 
     code_revision = kwargs.pop("code_revision", None)
     commit_hash = kwargs.pop("_commit_hash", None)
+    local_files_only = kwargs.get("local_files_only", False)
 
     hub_kwargs = {
         "revision": revision,
         "token": token,
         "trust_remote_code": trust_remote_code,
         "_commit_hash": commit_hash,
+        "local_files_only": local_files_only,
     }
 
     if task is None and model is None: